{"id":"W2598136971","doi":"10.1109/tcst.2017.2679066","title":"Fault-Tolerant Cooperative Control Design of Multiple Wheeled Mobile Robots","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Robot; Mobile robot; Fault tolerance; Control theory (sociology); Actuator; Engineering; Extended Kalman filter; Control engineering; Fault detection and isolation; Feedback linearization; Fault (geology); Kalman filter; Collision avoidance; Computer science; Collision; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005064013,0.0008736927,0.0006624085,0.0003548377,0.0005668727,0.0009004818,0.001455303,0.000868535,0.0009086225],"category_scores_gemma":[0.0008094485,0.0003143954,0.0004937944,0.0003115064,0.0006672436,0.0005098425,0.001117662,0.0005363426,0.0001948886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006148299,"about_ca_system_score_gemma":0.000753467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005280943,"about_ca_topic_score_gemma":0.002717495,"domain_scores_codex":[0.999529,0.00007522423,0.0000236783,0.0001485517,0.0001405363,0.00008305832],"domain_scores_gemma":[0.9997076,0.00005220147,0.00008213948,0.00002438446,0.0001081203,0.00002555079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009028988,0.00003179141,0.0005586955,0.0001236084,0.00005059598,0.0003112101,0.0002324758,0.9359233,0.01678865,0.01005454,0.0004705419,0.03536423],"study_design_scores_gemma":[0.00001129896,0.0001040241,0.0001030611,0.000005255176,0.000009445587,0.0000196679,0.00001881743,0.9970772,0.001045202,0.0009524266,0.0006487962,0.000004701262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03342724,0.0003190991,0.9618145,0.0001242017,0.00008498365,0.00005829021,0.00001637755,0.0001679464,0.003987412],"genre_scores_gemma":[0.9660296,0.0001780384,0.03135768,0.00004876978,0.00002701411,0.0001777451,0.00002653727,0.000009205175,0.002145321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005280943,"threshold_uncertainty_score":0.01050043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873898380513541,"score_gpt":0.2490524632874625,"score_spread":0.2303134794823271,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}